Nigeria NPFL
Abubakar Tafawa Balewa Stadium
Wikki Tourist
D W L L L L
VS
xG 1.17 - 0.89
Akwa United
D L W L W L

Mathematical Predictions: Wikki Tourist vs Akwa United

TOTAL GOALS
Under 2.5
Probability 66.13% Pending
MATCH RESULT
Draw
Pending

Historical Prediction Track Records

Wikki Tourist team crest Wikki Tourist Past Prediction Accuracy

Historical prediction accuracy and match outcomes for Wikki Tourist
Date Fixture 1X2 O/U 2.5 FT
No historical records found.

Akwa United team crest Akwa United Past Prediction Accuracy

Historical prediction accuracy and match outcomes for Akwa United
Date Fixture 1X2 O/U 2.5 FT
No historical records found.

Wikki Tourist vs Akwa United

H2H, Match Stats & Analysis
Nigeria NPFL
Abubakar Tafawa Balewa Stadium
In their previous 3 head-to-head matches, Wikki Tourist scored an average of 0.67 goals per match, compared to Akwa United 1.00 goals.
Over their last 10 matches, Wikki Tourist scored an average of 1.50 and conceded 1.50, whereas Akwa United scored 0.67 and conceded 1.17.

What are the expected goals (xG) predicted in Wikki Tourist vs Akwa United match?

Based on the H2H and Form statistics, the expected goals (xG) for this match are 1.17 for Wikki Tourist and 0.89 for Akwa United. Mathematical prediction based on the algorithm is Under 2.5 with Poisson distribution probability of 66.13%.

H2H - Wikki Tourist vs. Akwa United

03 Jul 22
Wikki Tourist
2 - 0
(HT 2-0)
Akwa United
02 Mar 22
Akwa United
2 - 0
(HT 0-0)
Wikki Tourist
26 Apr 20
Wikki Tourist
-
(HT -)
Akwa United
08 Jan 20
Akwa United
1 - 0
(HT -)
Wikki Tourist

Team Form (Last 6)

Home Crest Wikki Tourist

04 Apr vs Enyimba 2-2
D
12 Apr @ Bayelsa United 0-1
W
19 Apr vs Bendel Insurance 1-2
L
05 May @ Ikorodu City 3-1
L
10 May vs Rivers United 2-3
L
24 May @ Kun Khalifat FC 3-1
L

Away Crest Akwa United

13 Apr vs El Kanemi Warriors 1-1
D
20 Apr @ Plateau United 1-0
L
27 Apr vs Ikorodu City 2-1
W
07 May @ Bendel Insurance 1-0
L
11 May vs Bayelsa United 2-0
W
25 May @ Heartland 2-1
L

Poisson Distribution Algorithm

We utilize a Poisson distribution model to evaluate goal probability (such as the 2.5 threshold) in professional fixtures. By assessing expected offensive and defensive ratings for both home and away sides, our engine calculates precise percentage outcomes for your match predictions.